MLSP 2025: all accepted papers
- Joint Graph Estimation and Signal Restoration for Robust Federated Learning ↗Tatsuo Fukuhara, Junya Hara, Hiroshi Higashi et al.
- Learning from Multiple Noisily Optimal Demonstrators in Stochastic Multi Armed Bandits ↗Hongyu Wang, Panagiotis A. Traganitis
- Learning or Cheating? Assessing Data Contamination in Large Vision-Language Models ↗Ahmed Masry, M. Firoz Ahmed, Ridwan Mahbub
- Long Range Constraints for Neural Texture Synthesis Using Sliced Wasserstein Loss ↗Liping Yin, Albert Chua
- MCFF-Det: Multispectral Coarse-to-Fine Fusion for Object Detection ↗Xiaoguang Zhai, Fan Xu, Yaowen Pan
- MPRDiff: Mixed Precision Restorative Diffusion Model with Incoherence Processing ↗Chih-Sheng Cheng, Yu-Shan Tai, An-Yeu Andy Wu et al.
- Memory-Efficient Correlated Noise for Locally Differentially Private Momentum in Distributed Learning ↗Yue Huang, Jiaojiao Zhang, Qing Hua Ling
- Microwavenet: Lightweight CBAM-Augmented Wavelet-Attentive Networks for Robust EEG Denoising ↗Jeet Bandhu Lahiri, Arvasu Kulkarni, Siddharth Panwar
- Model Recycling Framework for Multi-Source Data-Free Supervised Transfer Learning ↗Sijia Wang, Ricardo Henao
- Model-Agnostic Uncertainty Calibration for Noisy Constraint Modeling in Bainitic Steel Optimization ↗Sophie Steger, Bernd Schuscha, Franz Pernkopf
- Multimodal Artwork Topic Modeling via Fine-Tuned Clip and Knowledge-Driven Prompts ↗Raffaele Scaringi, Giovanni Stea, Nicola Fanelli et al.
- Networked Contextual Bandits with Anomaly-Aware Learning ↗Xiaotong Cheng, Setareh Maghsudi
- Neural Successive Cancellation Decoder for Polar Codes Using Analog in-Memory Computing with Memristors ↗Muhammad Atif Ali, Uras Kargı, Tolga M. Duman
- Non-Native Children's Automatic Speech Assessment Challenge (NOCASA) ↗Yaroslav Getman, Tamás Grósz, Mikko Kurimo et al.
- Nonlinear Matrix Decomposition with the Sigmoid Function ↗Harrison H. Nguyen, Atharva Awari, Arnaud Vandaele et al.
- On the Role of Low-Level Visual Features in EEG-Based Image Reconstruction ↗Junkai Yang, Arno Onken
- Online Frequency Estimation with Adaptive Locally Differentially Private Mechanisms ↗Giray Düzel, Sinan Yuldırım
- Online Topology Identification of Higher-Order Cell Structures ↗Abdullah Canbolat, Rohan Money, Baltasar Beferull‐Lozano
- Perturbation-Based Multiview Graph Learning with Consensus Graph ↗Mohammad Al-wardat, Selin Aviyente
- Pose-Guided Focal Loss for Enhancing Vision Transformers in Continuous Sign Language Recognition ↗Jingyan Wang, Yijia Hao, Dezong Zhao et al.
- Post-Inference Guided Transformer for Anomaly Interval Localization in Multivariate Time Series ↗Göksu Uzuntürk, Tuğba Taşkaya Temizel
- Prototypical Contrastive Learning for Improved Few Shot Audio Classification ↗Christos Sgouropoulos, Christos Nikou, Stefanos Vlachos et al.
- Provable Reduction in Communication Rounds for Non-Smooth Convex Federated Learning ↗Karlo Palenzuela, Ali Dadras, Alp Yurtsever et al.
- Restoration and Enhancement of Historical Manuscript Images Using Diffusion Model ↗Baran Işık, Behçet Uğur Töreyın
- Riemannian Fusions of EEG-Based Features for Motor Imagery Detection Under Propofol Sedation ↗Valérie Marissens Cueva, Camilla Mannino, Marie‐Constance Corsi et al.
- Robust and Efficient Kernel-Based Digital Self-Interference Cancellation Using a Priori Knowledge in Full-Duplex Transceivers ↗M. Hossein Attar, Jochen Fink, Ramez Askar et al.
- Semi-Supervised Audio-Visual Action Recognition with Audio Source Localization Guided Mixup ↗Seokun Kang, Taehwan Kim
- Speaking Images. A Novel Framework for the Automated Self-Description of Artworks ↗Valentine Bernasconi, Gustavo Marfia
- Stability and Performance Analysis of Diffusion Learning for Two-Network Competing Problems ↗Vladyslav Shashkov, Flávio R. M. Pavan, Haoyuan Cai et al.
- State Prediction for Offline Reinforcement Learning via Sequence-to-Sequence Modeling ↗Abdelghani Ghanem, Mounir Ghogho, Philippe Ciblat
- Subject Invariant Contrastive Learning for Human Activity Recognition ↗Yavuz Yarici, Kiran Kokilepersaud, Mohit Prabhushankar et al.
- TNSPC: Learning from Partially Observed Data Using Tensor Network Structured Probabilistic Circuits ↗Niccolo' Ciolli, Morten Mørup, Mikkel Nørgaard Schmidt
- Toward Sustainable Continual Learning: Detection and Knowledge Repurposing for Reoccurring Tasks ↗Sijia Wang, Yoojin Choi, Junya Chen et al.
- Toward a Gaze-Independent Brain-Computer Interface Using the Code-Modulated Visual Evoked Potentials ↗R. (Radovan) Vodila, J.C. van Lohuizen, Jordy Thielen
- Towards Generalizable Learning Models for EEG-Based Identification of Pain Perception ↗Mathis Rezzouk, Fabrice Gagnon, Alyson Champagne et al.
- Trust the Model: Compact VLMS as In-Context Judges for Image-Text Data Quality ↗Daulet Toibazar, Kesen Wang, Sherif Mohamed et al.
- Uncertainty Quantification for Motor Imagery BCI – Machine Learning vs. Deep Learning ↗Joris Suurmeijer, Ivo Pascal de Jong, Matías Valdenegro-Toro et al.
- Uncovering K-Way Balanced Consensus Communities in Signed Multilayer Brain Networks ↗Sema Athamnah, Selin Aviyente
- Unseen Speaker and Language Adaptation for Lightweight Text-to-Speech with Adapters ↗Alessio Falai, Ziyao Zhang, Akos Gangoly
- Utilizing Dynamic Sparsity on Pretrained DETR ↗Reza Sedghi, Anand Subramoney, David Kappel
- Veela Challenge - Vessel Extraction and Extrication for Liver Analysis ↗Tuğçe Toprak, Ziya Ata Yazıcı, İlkay Öksüz et al.
- “Digital Washing” of Semen Time-Lapse Images ↗Ludvik Alkhoury, Atilla Sivri, Jiwon Choi et al.
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